{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:THPV5LTHXCMHGVP7CDZCZVLDAJ","short_pith_number":"pith:THPV5LTH","schema_version":"1.0","canonical_sha256":"99df5eae67b8987355ff10f22cd563027283d5c122127aaed5ab334d8704e2b1","source":{"kind":"arxiv","id":"2507.18478","version":1},"attestation_state":"computed","paper":{"title":"Scout: Leveraging Large Language Models for Rapid Digital Evidence Discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Shariq Murtuza","submitted_at":"2025-07-24T14:54:14Z","abstract_excerpt":"Recent technological advancements and the prevalence of technology in day to day activities have caused a major increase in the likelihood of the involvement of digital evidence in more and more legal investigations. Consumer-grade hardware is growing more powerful, with expanding memory and storage sizes and enhanced processor capabilities. Forensics investigators often have to sift through gigabytes of data during an ongoing investigation making the process tedious. Memory forensics, disk analysis all are well supported by state of the art tools that significantly lower the effort required t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.18478","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-07-24T14:54:14Z","cross_cats_sorted":[],"title_canon_sha256":"13fbd727df9ff94fad387f11291d84f1c6e1538a51ab1a12036651943533102f","abstract_canon_sha256":"1ccb8f9db29cd9e401048d3027e22d74914afd418d980d4abfdd1c7b3d0652fa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:48.666063Z","signature_b64":"1/WA08zcH/kdzcY9iMPzRcLGjQAGJLiJTIFGLN4ZVVRetVJgp24NDGL24KXriDq+vo/dpvWimmxp3DmhYKANDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99df5eae67b8987355ff10f22cd563027283d5c122127aaed5ab334d8704e2b1","last_reissued_at":"2026-07-05T11:42:48.665664Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:48.665664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Scout: Leveraging Large Language Models for Rapid Digital Evidence Discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Shariq Murtuza","submitted_at":"2025-07-24T14:54:14Z","abstract_excerpt":"Recent technological advancements and the prevalence of technology in day to day activities have caused a major increase in the likelihood of the involvement of digital evidence in more and more legal investigations. Consumer-grade hardware is growing more powerful, with expanding memory and storage sizes and enhanced processor capabilities. Forensics investigators often have to sift through gigabytes of data during an ongoing investigation making the process tedious. Memory forensics, disk analysis all are well supported by state of the art tools that significantly lower the effort required t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18478","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.18478/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.18478","created_at":"2026-07-05T11:42:48.665715+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.18478v1","created_at":"2026-07-05T11:42:48.665715+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18478","created_at":"2026-07-05T11:42:48.665715+00:00"},{"alias_kind":"pith_short_12","alias_value":"THPV5LTHXCMH","created_at":"2026-07-05T11:42:48.665715+00:00"},{"alias_kind":"pith_short_16","alias_value":"THPV5LTHXCMHGVP7","created_at":"2026-07-05T11:42:48.665715+00:00"},{"alias_kind":"pith_short_8","alias_value":"THPV5LTH","created_at":"2026-07-05T11:42:48.665715+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ","json":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ.json","graph_json":"https://pith.science/api/pith-number/THPV5LTHXCMHGVP7CDZCZVLDAJ/graph.json","events_json":"https://pith.science/api/pith-number/THPV5LTHXCMHGVP7CDZCZVLDAJ/events.json","paper":"https://pith.science/paper/THPV5LTH"},"agent_actions":{"view_html":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ","download_json":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ.json","view_paper":"https://pith.science/paper/THPV5LTH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.18478&json=true","fetch_graph":"https://pith.science/api/pith-number/THPV5LTHXCMHGVP7CDZCZVLDAJ/graph.json","fetch_events":"https://pith.science/api/pith-number/THPV5LTHXCMHGVP7CDZCZVLDAJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ/action/storage_attestation","attest_author":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ/action/author_attestation","sign_citation":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ/action/citation_signature","submit_replication":"https://pith.science/pith/THPV5LTHXCMHGVP7CDZCZVLDAJ/action/replication_record"}},"created_at":"2026-07-05T11:42:48.665715+00:00","updated_at":"2026-07-05T11:42:48.665715+00:00"}